Table 13.

Comparisons of binary results for precision, recall, F1-score and runtimes for RCNN, XCNN and generic algorithms.

Dataset/Approach		Precision	Recall	F1-Score	Train Time	Predict Time	Total Runtime
CCD-INID-V1/RCNN	0	0.96	0.95	0.96	28.96 s	3.32 s	32.28 s
	1	0.95	0.96	0.96
CCD-INID-V1/XCNN	0	0.99	0.99	0.99	42.32 s	9.07 s	51.39 s
	1	0.99	0.99	0.99
CCD-INID-V1/KNN	0	1.00	1.00	1.00	26.1 ms	7 min 53 s	7 min 53 s
	1	1.00	1.00	1.00
CCD-INID-V1/LR	0	0.60	0.71	0.65	8.57 s	350 ms	8.92 s
	1	0.67	0.55	0.60
CCD-INID-V1/NB	0	0.60	0.71	0.65	19.9 ms	18.2 ms	38.1 ms
	1	0.67	0.55	0.60
CCD-INID-V1/SVM	0	0.60	0.71	0.65	22.3 s	34.9 ms	22.33 s
	1	0.67	0.55	0.60
Balot/RCNN	0	1.00	1.00	1.00	63.23 s	8.24 s	71.47 s
	1	1.00	1.00	1.00
Balot/XCNN	0	0.99	0.99	0.99	60.03 s	12.10 s	72.13 s
	1	0.99	0.99	0.99
Balot/KNN	0	0.99	0.99	0.99	5 min 21 s	165 min 41 s	171 min 2 s
	1	0.99	0.99	0.99
Balot/LR	0	0.86	0.75	0.80	19 min 3 s	2 min 14 s	21 min 17 s
	1	0.84	0.92	0.88
Balot/NB	0	0.60	0.71	0.65	4 min 32 s	5 min 21 s	9 min 53 s
	1	0.67	0.55	0.60
Balot/SVM	0	0.84	0.57	0.68	25 min 6 s	3 min 17 s	28 min 23 s
	1	0.76	0.93	0.83
DoH20/RCNN	0	0.98	0.99	0.99	24 s	11.45 s	35.45 s
	1	0.99	0.98	0.99
DoH20/XCNN	0	1.00	1.00	1.00	67.45 s	5.46 s	72.91 s
	1	1.00	1.00	1.00
DoH20/KNN	0	0.93	0.83	0.88	19 ms	79 min 46 s	79 min 46 s
	1	0.99	0.99	0.99
DoH20/LR	0	0.87	0.70	0.78	16 min 44 s	226 ms	166 min 46 s
	1	0.98	0.99	0.98
DoH20/NB	0	0.93	0.83	0.88	109 ms	23.6 ms	132.6 ms
	1	0.99	0.99	0.99
DoH20/SVM	0	0.45	0.67	0.54	50.2 s	36.3 ms	50.24 s
	1	0.97	0.94	0.95